Literature DB >> 26850358

Differences in Bordetella pertussis DNA load according to clinical and epidemiological characteristics of patients with whooping cough.

Pedro Brotons1, Hector D de Paz2, Diana Toledo3, Marta Villanova2, Pedro Plans4, Iolanda Jordan5, Angela Dominguez6, Mireia Jane7, Pere Godoy4, Carmen Muñoz-Almagro8.   

Abstract

OBJECTIVE: To identify associations between nasopharyngeal Bordetella pertussis DNA load and clinical and epidemiological characteristics and evaluate DNA load prognostic value in pertussis severity.
METHODS: Prospective observational multi-centre study including nasopharyngeal samples positive to pertussis DNA by real-time PCR collected from children and adult patients in more than 200 health centres of Catalonia (Spain) during 2012-2013.
RESULTS: B. pertussis load was inversely correlated with age (rho = -0.32, p < 0.001), time to diagnosis (rho = -0.33, p < 0.001) and number of symptoms (rho = 0.13, p = 0.002). Median bacterial load was significantly higher in inpatients versus outpatients (4.91 vs. 2.55 log10 CFU/mL, p < 0.001), patients with complications versus those without (6.05 vs. 2.82 log10 CFU/mL, p < 0.001), disease incidence in summer and autumn versus spring and winter (3.50 vs. 2.21 log10 CFU/mL, p = 0.002), and unvaccinated-partially vaccinated patients versus vaccinated (4.20 vs. 2.76 log10 CFU/mL, p = 0.004). A logistic regression model including bacterial load and other candidate prognostic factors showed good prediction for hospital care (AUC = 0.94) although only age and unvaccinated status were found to be prognostic factors.
CONCLUSIONS: We observed strong positive associations of nasopharyngeal bacterial load with severity outcomes of hospitalisation and occurrence of complications. Bacterial load and other independent variables contributed to an accurate prognostic model for hospitalisation.
Copyright © 2016 The British Infection Association. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bacterial load; Bordetella pertussis; Children; Prognostics; Real-time PCR; Whooping cough

Mesh:

Substances:

Year:  2016        PMID: 26850358     DOI: 10.1016/j.jinf.2016.01.013

Source DB:  PubMed          Journal:  J Infect        ISSN: 0163-4453            Impact factor:   6.072


  5 in total

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Authors:  E Mohammed Abdullah; A M Abdulla; M Ali Khalil; H Ahmed Owaid
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2.  Validation and Implementation of a Diagnostic Algorithm for DNA Detection of Bordetella pertussis, B. parapertussis, and B. holmesii in a Pediatric Referral Hospital in Barcelona, Spain.

Authors:  Ana Valero-Rello; Desiree Henares; Lesly Acosta; Mireia Jane; Iolanda Jordan; Pere Godoy; Carmen Muñoz-Almagro
Journal:  J Clin Microbiol       Date:  2019-01-02       Impact factor: 5.948

3.  Exploring the nasopharyngeal microbiota composition in infants with whooping cough: A test-negative case-control study.

Authors:  Muntsa Rocafort; Desiree Henares; Pedro Brotons; Irene Barrabeig; Cristian Launes; Lore Merdrignac; Marta Valenciano; Angela Domínguez; Pere Godoy; Carmen Muñoz-Almagro
Journal:  PLoS One       Date:  2021-10-29       Impact factor: 3.240

4.  Tracheal colonization factor A (TcfA) is a biomarker for rapid and specific detection of Bordetella pertussis.

Authors:  Amanda R Burnham-Marusich; Ryan K Olsen; Jacqueline Scarbrough; Alexander Kvam; Wei Yang; Lindsey Zimmerman; James J Dunn; Tod Merkel; Thomas R Kozel
Journal:  Sci Rep       Date:  2020-09-14       Impact factor: 4.379

5.  Cross-feeding modulates antibiotic tolerance in bacterial communities.

Authors:  Elizabeth M Adamowicz; Jeffrey Flynn; Ryan C Hunter; William R Harcombe
Journal:  ISME J       Date:  2018-07-10       Impact factor: 10.302

  5 in total

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